Complete a one to two page (750 to 1000 words) double-spaced paper. The paper sh
ID: 3844380 • Letter: C
Question
Complete a one to two page (750 to 1000 words) double-spaced paper. The paper should include:
1. Find a current (within the last nine months) article about business intelligence, data analytics, etc.
2. Complete an overview of the article.
3. Identify one interesting topic that you learned about or thought was noteworthy for additional discussion and why you chose this subject.
4. Include an active URL of the article or attach a copy of the article with your assignment. If I can not review the article, you will be docked points per the rubric.
Here is a hint for you on how to get to the 750 to 1000 word count. Write more and edit down. These chapters have so much good stuff in them that you shouldn't have a problem summarizing and relating them to things in your life either as a consumer or professional. When I read your post, I don't want to feel as if you are struggling to count up to 750 words; I want to feel as if I should have made the word count over 1000 because you have too much to say. However, please stay within 1000 words.
When writing your paper, please use the headings below that follow the requirements of the assignment. This outline will help you organize your thoughts, and it helps me read your paper faster to make sure you covered everything.
Article Overview
Topic of Interest
URL
Explanation / Answer
Article Overview
Business Intelligence And Analytics In The Cloud, 2017
The article is about the insights from BARC Research and study and Eckerson Group Study, BI and Data Management in Could. Business Application Research Center (BARC) is a research and consulting firm that concentrates on enterprise software including business intelligence (BI), analytics and data management. Eckerson Group is a research and consulting firm focused on serving the needs of business intelligence (BI) and analytic leaders in Fortune 2000 organizations worldwide. The study is based on interviews completed in September and October 2016. 370 respondents participated in the survey globally. The study’s results provide an interesting glimpse into analytics and BI adoption today.
Key insights from the study include:
. Public cloud is the most preferred deployment platform for cloud BI and analytics, and the larger the organization toe more likely they are using private clouds.
46% of organizations selected public cloud platforms as their preferred infrastructure for supporting their BI, analytics, and data management initiatives in 2016. 30% are relying on a hybrid cloud platform and 24%, private clouds. With public cloud platforms becoming more commonplace in BI and analytics deployments, the need for greater PaaS- and IaaS-level orchestration becomes a priority. The larger the organization, the more likely they are using private clouds (33%). Companies with between 250 to 2,500 employees are the least likely to be using private clouds (16%)
. Dashboard-based reporting (76%), ad-hoc analysis and exploration (57%) and dashboard authoring (55%) are the top three Cloud BI use cases.
Respondents are most interested in adding advanced and predictive analytics (53%), operational planning and forecasting (44%), strategic planning and simulation (44%) in the next year. The following graphic compares primary use cases and planned investments in the next twelve
. Power users dominate the use of cloud BI and analytics solutions, driving more complex use cases that include ad-hoc analysis (57%) and advanced report and dashboard creation (55%).
Casual users are 20% of all cloud BI and analytics, with their most common use being for reporting and dashboards (76%). Customers and suppliers are an emerging group of cloud BI and analytics users as more respondent companies create self-service web-based apps to streamline external reporting.
. Data integration between cloud applications/databases (51%) and providing data warehouses and data marts (50%) are the two most common data management strategies in use to support BI and analytics solutions today.
Respondent organizations are using the cloud to integration cloud applications with each other and with on-premises applications (46%). The study also found that as more organizations move to the cloud, there’s a corresponding need to support hybrid cloud architectures. Cloud-based data warehouses are primarily being built to support net new applications versus existing
. Data integration between on-premises and cloud applications dominates use cases across all company sizes, with 48% of enterprises leading in adoption.
Enterprises are also prioritizing providing data warehouses and data marts (48%), the pre-processing of data (38%) and data integration between cloud applications and databases (38%). The smaller a company is the more critical data integration becomes. 63% of small companies with less than 250 employees are prioritizing data integration between cloud applications and databases (63%).
. Tools for data exploration (visual discovery) adopted grew the fastest in the last three years, increasing from 20% adoption in 2013 to 49% in 2016.
BI tools increased slightly from 55% to 62% and BI servers dropped from 56% to 51%. Approximately one in five respondent organizations (22%) added analytical applications in 2016.
. The main reasons for adopting cloud BI and analytics differ by size of the company, with cost (57%) being the most important for mid-sized businesses between 250 to 2.5K employees.
Consistent with previous studies, small companies’ main reason for adopting cloud BI and analytics include flexibility (46%), reduced maintenance of hardware and software (43%), and cost (38%). Enterprises with more than 2.5K employees are adopting cloud BI and analytics for greater scalability (48%), cost (40%) and reduced maintenance of hardware and software (38%). The following graphic compares the most important reason for adopting cloud BI, analytics and data management by the size of the company.
Topic of Interest
Cloud Computing
These days cloud computing has become an emerging technology and area of discussions. Cloud computing is a type of Internet-based computing that provides shared computer processing resources and data to computers and other devices on demand. It is a model for enabling ubiquitous, on-demand access to a shared pool of configurable computing resources (e.g., computer networks, servers, storage, applications and services), which can be rapidly provisioned and released with minimal management effort. Cloud computing services enable rapid deployment and provisioning of IT infrastructure based on changing needs. Enterprise needs to meet day-to-day computing requirements encompass rapid scalability and deployment. The availability of a number of applications to meet end-user needs is another factor driving the adoption of private cloud services. cloud computing allows companies to avoid up-front infrastructure costs (e.g., purchasing servers). As well, it enables organizations to focus on their core businesses instead of spending time and money on computer infrastructure.
URL:
https://www.forbes.com/sites/louiscolumbus/2017/02/26/business-intelligence-and-analytics-in-the-cloud-2017/#4fe61eb4a289
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